Our PhD and MS level biostatisticians are highly trained in a range of statistical and analytic methods, including:
- Longitudinal data analysis
- ANOVA, regression, logistic regression
- Bayesian data analyses
- Sample size and power estimation
- Statistical genomics
- Survival analyses
- Principal component and factor analysis
- Path modeling
- Structural equation modeling
- Cluster analysis
- Complex survey data analysis
- Statistical simulations and graphics
- Profile analysis
- Gene expression data analysis
- Mixed effects models
- Generalized Estimating Equations (GEE)
- Propensity Score Matching (PSM)
- Evaluation of medical tests for classification and prediction
- Estimation of median lethal doses (LD50)/quantal dose-response curves
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Biostatisticians & Epidemiologists
Tamekia Jones, PhD Assistant Professor, Pediatrics & Preventive Medicine Tamekia L. Jones, Ph.D., is an Assistant Professor in the Department of Pediatrics with a secondary appointment in the Department of Preventive Medicine. Dr. Jones is a biostatistician for the Children’s Foundation Research Institute. In this role, she assists investigators with study design, sample size and power calculations, and statistical analyses. Prior to joining UTHSC, Dr. Jones served as a senior statistician for frontline Acute Lymphoblastic Leukemia clinical trials in the Children’s Oncology Group at the University of Florida. Her research interests include clinical trials, survival analysis, obesity, and health disparities.
Mehmet Kocak, PhD Associate Professor of Biostatistics, Preventive Medicine Mehmet earned his M.Sc. degree in applied statistics from Michigan State University and a Ph.D. in statistics from the University of Memphis. He has been a study biostatistician for numerous Phase-I and Phase-II clinical trials conducted by St. Jude Children’s Research Hospital from 2002-2011 and by Pediatric Brain Tumor Consortium (PBTC) from 2002-present, and for clinical and observational studies conducted by University of Tennessee Health Science Center (UTHSC) since 2011. His areas of research have been time-course gene expression data analysis, meta-analysis of p-values, Phase-I clinical trial design, Survival analysis, and categorical data analysis. He is an expert in the SAS programming language as well as SAS/Graph.